Speech Enhancement

✍ Scribed by Prof. Dr. Jacob Benesty, Shoji Makino, Jingdong Chen (auth.)

• Publisher: Springer-Verlag Berlin Heidelberg
• Year: 2005
• Tongue: English
• Leaves: 415
• Series: Signals and Communication Technology
• Edition: 1
• Category: Library

✦ Synopsis

We live in a noisy world! In all applications (telecommunications, hands-free communications, recording, human-machine interfaces, etc) that require at least one microphone, the signal of interest is usually contaminated by noise and reverberation. As a result, the microphone signal has to be "cleaned" with digital signal processing tools before it is played out, transmitted, or stored.

This book is about speech enhancement. Different well-known and state-of-the-art methods for noise reduction, with one or multiple microphones, are discussed. By speech enhancement, we mean not only noise reduction but also dereverberation and separation of independent signals. These topics are also covered in this book. However, the general emphasis is on noise reduction because of the large number of applications that can benefit from this technology.

The goal of this book is to provide a strong reference for researchers, engineers, and graduate students who are interested in the problem of signal and speech enhancement. To do so, we invited well-known experts to contribute chapters covering the state of the art in this focused field.

✦ Table of Contents

Introduction....Pages 1-8
Study of the Wiener Filter for Noise Reduction....Pages 9-41
Statistical Methods for the Enhancement of Noisy Speech....Pages 43-65
Single- and Multi-Microphone Spectral Amplitude Estimation Using a Super-Gaussian Speech Model....Pages 67-95
From Volatility Modeling of Financial Time-Series to Stochastic Modeling and Enhancement of Speech Signals....Pages 97-113
Single-Microphone Noise Suppression for 3G Handsets Based on Weighted Noise Estimation....Pages 115-133
Signal Subspace Techniques for Speech Enhancement....Pages 135-159
Speech Enhancement: Application of the Kalman Filter in the Estimate-Maximize (EM) Framework....Pages 161-198
Speech Distortion Weighted Multichannel Wiener Filtering Techniques for Noise Reduction....Pages 199-228
Adaptive Microphone Array Employing Spatial Quadratic Soft Constraints and Spectral Shaping....Pages 229-246
Single-Microphone Blind Dereverberation....Pages 247-270
Separation and Dereverberation of Speech Signals with Multiple Microphones....Pages 271-298
Frequency-Domain Blind Source Separation....Pages 299-327
Subband Based Blind Source Separation....Pages 329-352
Real-Time Blind Source Separation for Moving Speech Signals....Pages 353-369
Separation of Speech by Computational Auditory Scene Analysis....Pages 371-402

✦ Subjects

Signal, Image and Speech Processing;Acoustics;User Interfaces and Human Computer Interaction